sheev charan

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sheev charan

sheev charan

@sheevcharan1

inspired by rebels!

Katılım Mart 2019
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sheev charan
sheev charan@sheevcharan1·
@runwayml we built something very similar for the runway hackathon x.com/sampatil1010/s…
Samir Patil@sampatil1010

What if filmmaking felt less like typing prompts… and more like talking through your vision with a creative partner? Filmmakers shouldn’t have to think like prompt engineers. They should be able to talk through emotion, tension, pacing, characters, and story naturally. So we built Director’s Room, a voice-first AI director that helps filmmakers brainstorm scenes, refine ideas, generate storyboards, create cinematic shots, compose music, and stitch entire films together through conversation. The future of filmmaking won’t feel like prompting. It’ll feel like directing. Built during the Cursor x ElevenLabs Worldwide Hackathon. @cursor_ai @ElevenLabs #ElevenHacks

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Runway
Runway@runwayml·
Meet Runway Agent. Your new AI creative partner that helps you ideate and execute fully finished, sound designed and edited videos. All with just a simple conversation. From ads to shorts to content for social, Runway Agent makes it easy to make more of what you need. Get started on web at the link below.
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sheev charan
sheev charan@sheevcharan1·
this is huge coming from a political leader like stalin. i'm genuinely surprised that he's not taking the usual route of becoming overly emotional on camera and turning the moment into public mourning, but instead going back to the ground to collect real feedback so he can return stronger. i think we're going to see a lot more of this in the political tech landscape. leaders will become increasingly data-driven and use ai more deeply to understand people, shape narratives, and strengthen their campaigns.
M.K.Stalin@mkstalin

தேர்தல் முடிவுகளுக்கான காரணம் என்ன? இனி நாம என்ன பண்ணணும்? உடன்பிறப்பே! நீங்க சொல்லுங்க, நான் கேக்குறேன். 🔗: udanpirapinkural.in

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Samir Patil
Samir Patil@sampatil1010·
What if filmmaking felt less like typing prompts… and more like talking through your vision with a creative partner? Filmmakers shouldn’t have to think like prompt engineers. They should be able to talk through emotion, tension, pacing, characters, and story naturally. So we built Director’s Room, a voice-first AI director that helps filmmakers brainstorm scenes, refine ideas, generate storyboards, create cinematic shots, compose music, and stitch entire films together through conversation. The future of filmmaking won’t feel like prompting. It’ll feel like directing. Built during the Cursor x ElevenLabs Worldwide Hackathon. @cursor_ai @ElevenLabs #ElevenHacks
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sheev charan
sheev charan@sheevcharan1·
@mememandir x.com/sheevcharan1/s…
sheev charan@sheevcharan1

It means that from 2000 to 2015, the focus was largely on fixing the supply side of electricity: increasing generation capacity, building transmission networks, expanding the grid, and reforming the electricity sector itself. From 2015 onwards, the focus shifted toward the demand side: actually connecting households, solving last-mile delivery, and ensuring electricity reached individual homes rather than just villages. You can almost see an accelerated growth curve during the demand-side phase. The interesting question is: why did the supply side take so long? The answer might be that the supply-side infrastructure is extremely capital-intensive and sequential. You cannot electrify homes at scale unless generation exists first, transmission lines are built, substations are operational, and the grid becomes stable enough to support millions of additional users. In many ways, the post-2015 acceleration was possible only because the foundational infrastructure work from the previous 15 years had already been completed.

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mememandir
mememandir@mememandir·
there are a dozen such reforms bjp brought in but even their own politicians wont talk about it because they know their audience. our country doesn't vote for this
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sheev charan
sheev charan@sheevcharan1·
@protosphinx x.com/sheevcharan1/s…
sheev charan@sheevcharan1

It means that from 2000 to 2015, the focus was largely on fixing the supply side of electricity: increasing generation capacity, building transmission networks, expanding the grid, and reforming the electricity sector itself. From 2015 onwards, the focus shifted toward the demand side: actually connecting households, solving last-mile delivery, and ensuring electricity reached individual homes rather than just villages. You can almost see an accelerated growth curve during the demand-side phase. The interesting question is: why did the supply side take so long? The answer might be that the supply-side infrastructure is extremely capital-intensive and sequential. You cannot electrify homes at scale unless generation exists first, transmission lines are built, substations are operational, and the grid becomes stable enough to support millions of additional users. In many ways, the post-2015 acceleration was possible only because the foundational infrastructure work from the previous 15 years had already been completed.

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sheev charan
sheev charan@sheevcharan1·
It means that from 2000 to 2015, the focus was largely on fixing the supply side of electricity: increasing generation capacity, building transmission networks, expanding the grid, and reforming the electricity sector itself. From 2015 onwards, the focus shifted toward the demand side: actually connecting households, solving last-mile delivery, and ensuring electricity reached individual homes rather than just villages. You can almost see an accelerated growth curve during the demand-side phase. The interesting question is: why did the supply side take so long? The answer might be that the supply-side infrastructure is extremely capital-intensive and sequential. You cannot electrify homes at scale unless generation exists first, transmission lines are built, substations are operational, and the grid becomes stable enough to support millions of additional users. In many ways, the post-2015 acceleration was possible only because the foundational infrastructure work from the previous 15 years had already been completed.
sheev charan tweet media
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Aravind
Aravind@aravind·
The number of people without electricity by country. Look what happened after 2016. Someone started fixing India for real. Many things at a time. Still some way to go. The lag of last 60 is that bad.
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sheev charan
sheev charan@sheevcharan1·
yesterday, i met an entrepreneur with good credentials (ex-apollo, springleaf, etc.) who wanted to jam about a product idea he'd been exploring. in the meeting, it became clear that he wanted to spend a lot of time thinking about this space before even thinking about execution. he doesn't know how to use vibe-coding platforms, but he built a prototype in freaking excel — sample UI, buttons and it's just crazy amount of work. this is one of the most consistent patterns i've seen with good product people and entrepreneurs: they spend a lot of time refining the idea before they ever go to their engineering or design teams for execution. of course they talk to execution teams early to understand what's possible and what's not, but not for any groundbreaking product direction. this skill is going to be tremendously valuable in the ai era: the ability to bulletproof ideas before going to execution. otherwise, you end up building a low-resolution product that might solve a problem or two, but can't support deep vertical integration.
sheev charan tweet media
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sheev charan
sheev charan@sheevcharan1·
@venturetwins We are building in the gen ai space and would like to get access to this - very interesting model
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Justine Moore
Justine Moore@venturetwins·
I've been testing a new image model dropping soon 👀 It's a breath of fresh air - the visuals are insane, and it makes image generation feel like art again. I have a couple invites, comment or DM if you want to try it!
Justine Moore tweet mediaJustine Moore tweet mediaJustine Moore tweet mediaJustine Moore tweet media
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sheev charan
sheev charan@sheevcharan1·
@hardeep_gambhir we are building in this space. we are group of researchers, swe, and product - i love writing, so we should collab. dming you
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Hardeep
Hardeep@hardeep_gambhir·
looking to work with someone to write such deep dives on the ai video-gen space. who should i talk to? you'll have loads of fun nerding out about the new emerging industry with me and the team :)
Hardeep@hardeep_gambhir

x.com/i/article/2034…

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Arjun Malhotra
Arjun Malhotra@BadCapitalVC·
India is the largest youtube market in the world by user count and has the highest mobile data consumption per smartphone user globally. Most of that consumption is video, short-form especially. But the production layer for indian brands has barely moved. A typical D2C brand still pays ₹2-5L / ad film to an agency or production house. Mid-market brands shoot maybe 4-6 ad films a year. Most AI "creative" discourse right now is very US-centric, but the demand-supply mismatch is way sharper here - and why I think we might be the best market for director-level creative AI to land. Most AI video tools today are just editor-level - they help you cut, color, subtitle, resize. They're useful, but that's work freelance editors already do cheaply & quickly. Director-level AI should be able to take a brief and produce a finished output - including script, voice, visuals, pacing, all of it. What an indian D2C brand actually needs is an AI that can produce a 30 sec ad with regional voiceover, a face that feels real, and a tone that's brand-safe enough to run on instagram or youtube (runway and sora can't produce this yet). That's a very specific problem, and India might be the only market where it's both urgent and large enough to build a standalone company around.
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Tapan Mittal
Tapan Mittal@Wapeye·
@BadCapitalVC Not just D2C, I'm struggling to get this done as a consumer tech startup. And we have enough ugc video content that gets generated on our platform, but I miss exactly what you said - a director level indian voice+video+distribution tool
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Parul Dhand
Parul Dhand@ParulDhand·
@BadCapitalVC We ship out 350 performance ads every month. 130 are AI-led, and rest are being shot in-house. the problem you are mentioning is very genuine and we are already building a product to solve this.
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sheev charan
sheev charan@sheevcharan1·
one of the qualities i admire most in my co-founder @sampatil1010: he consistently puts himself in uncomfortable situations to grow. samir is one of the best engineers i know. there is nothing i believe he cannot build, and build well. lately, he has been learning sales. at a recent public event, everyone was asked to introduce themselves. i've done this hundreds of times and moved past the awkward phase. samir is just starting. but he showed up anyway. spoke in front of the room. talked to customers he didn't know. later called salespeople just to learn from them. i believe the success of a company depends on the compounding rate of its founders. he does it every single day. to win.
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sheev charan
sheev charan@sheevcharan1·
biggest learning about ai video generation models and workflow came to us when we started building videos and films ourselves we were deeply in the loop, understanding every piece of customer feedback, every little nuance, and every model limitation ai-enabled creative tooling is as much technical as it is creative
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sheev charan
sheev charan@sheevcharan1·
a long overdue project: my personal website sheevcharan.com it contains my blogs, the books i read, and travel photos
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sheev charan
sheev charan@sheevcharan1·
i have been thinking about moat in building an ai company, and three independent insights from three different people make a lot of sense when put together: 1/ friend 1: it is very difficult to unlock value and sustain it for long if the tech underneath is very volatile and the ground is constantly shifting. 2/ friend 2: ask yourself, are you happy or sad when the model underneath gets better? the answer shows whether you are doing the right things or not. 3/ andrej: for founders, one important opportunity is to find domains that are valuable, verifiable, and undertrained by frontier labs. build in domains where model outputs need continuous grounding, verification, and feedback loops that only your system accumulates over time.
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Keşfet

@runwayml @touchsundar1969 @cursor_ai @ElevenLabs @sampatil1010 @mememandir @protosphinx @venturetwins